风场探测Fabry-Perot干涉仪定标与反演算法研究

Research on the Calibration and Data Retrieval of the Wind Field Measurement Fabry-Perot Interferometer

利用非线性回归法结合仪器的传递函数模型对大气风场探测法布里-珀罗干涉仪进行了定标和反演.首先,基于修正的艾里函数建立了仪器的传递函数及气辉响应函数模型;然后,利用稳频激光器对现有法布里-珀罗干涉仪系统进行了实验室定标,获取了定标数据;采用分步非线性回归拟合法对定标数据进行处理,获取仪器传递函数模型参量;最后利用标定的仪器传递函数模型,对不同信噪比、不同风速温度预估输入的法布里-珀罗干涉仪气辉仿真数据进行了风速和温度反演.实验结果表明,在信噪比优于40的情况下,风速和温度反演准确度分别可以达到5m/s和10K.

For the work of calibration and data retrieval of the wind field measuring Fabry-Perot interferometer,a method of nonlinear regression fitting combined with transfer function model was researched.First of all,the instrument transfer function and air-glow response model were established with a modified Airy function.Secondly,ground calibration was done to the Fabry-Perot interferometer system with a frequency-stabilized laser and the calibration data was collected.Nonlinear regression fitting step by step was applied to the processing of the calibration data to get parameters of the instrument transfer function.Finally,the wind and temperature of the simulated air-glow fringe,with different signal noise ratio,wind and temperature input,were estimated with the calibrated instrument transfer function model.The results show that the wind and temperature retrieval accuracy can excel5m/s and 10 Krespectively for data with signal noise ratio better than 40.